Senior Data Analyst (Contract)

Saaki-Argus-and-Averil-Consulting; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Saaki Argus And Averil Consulting in Mumbai seeks a data governance and analytics professional to analyze and document data flows across multiple stores and platforms, drive governance and data quality, and work with SQL and cloud stores. You will collaborate with business and tech teams, leverage AI tools, and operate in an Agile environment to deliver data-driven insights.

The role emphasizes data model design, data lineage, data profiling, and creating transformation specifications to support

Responsibilities

• Analyze and document data flows, data mappings, systems, and data elements across multiple data stores and platforms.
• Reverse engineer legacy systems and implementations and prepare detailed transformation specifications for data migration.
• Define data mapping and transformation rules for migrating data from legacy platforms to modernised platforms.
• Drive Data Stewardship, Data Governance, and Data Quality standards across systems and teams.
• Design and analyze data models, data flows, data lineage, and data transformations for efficient data processing.
• Perform detailed data profiling, including fill-rate analysis, attribute comparisons, integrity, consistency, and accuracy checks.
• Build or leverage tools to perform macro- and micro-level data comparisons and identify migration gaps and anomalies.
• Work extensively with SQL and GCP data stores, particularly BigQuery and Bigtable, for data analysis and validation.
• Develop data insights, dashboards, and recommendations to support business and stakeholder decision-making.
• Possess strong understanding of Commercial/Customer Data domains and recommend appropriate data views based on business requirements.
• Create and maintain data lineage, ontology, reference data, metadata, data models, and transformation specifications.
• Collaborate with business, technology, data engineering, and other stakeholders to understand requirements and deliver objective-driven solutions.
• Work with Snowflake and other cloud data platforms for data analysis and migration activities.
• Leverage Generative AI and AI-powered tools to simplify, automate, and accelerate data analysis and project activities.
• Work in an Agile environment, using tools such as JIRA and Confluence, while collaborating effectively with cross-functional teams.

Job description

• Analyze and document data flows, data mappings, systems, and data elements across multiple data stores and platforms.
• Reverse engineer legacy systems and implementations and prepare detailed transformation specifications for data migration.
• Define data mapping and transformation rules for migrating data from legacy platforms to modernised platforms.
• Drive Data Stewardship, Data Governance, and Data Quality standards across systems and teams.
• Design and analyze data models, data flows, data lineage, and data transformations for efficient data processing.
• Perform detailed data profiling, including fill-rate analysis, attribute comparisons, integrity, consistency, and accuracy checks.
• Build or leverage tools to perform macro- and micro-level data comparisons and identify migration gaps and anomalies.
• Work extensively with SQL and GCP data stores, particularly BigQuery and Bigtable, for data analysis and validation.
• Develop data insights, dashboards, and recommendations to support business and stakeholder decision-making.
• Possess strong understanding of Commercial/Customer Data domains and recommend appropriate data views based on business requirements.
• Create and maintain data lineage, ontology, reference data, metadata, data models, and transformation specifications.
• Collaborate with business, technology, data engineering, and other stakeholders to understand requirements and deliver objective-driven solutions.
• Work with Snowflake and other cloud data platforms for data analysis and migration activities.
• Leverage Generative AI and AI-powered tools to simplify, automate, and accelerate data analysis and project activities.
• Work in an Agile environment, using tools such as JIRA and Confluence, while collaborating effectively with cross-functional teams.